Bayesian networks applied to ESP performance monitoring and forecasting

Predicting the degradation of the Electrical Submersible Pumps (ESP) performance well in advance to avoid its failure is a rewarding yet challenging task. The complex interdependencies with well-reservoir properties and between machine components influence ESP performance and ultimately can lead to different types of failure. Predictions based...

Transitions to manual control from highly automated driving in non-critical truck platooning scenarios

Automated truck platooning is getting an increasing interest for its potentially beneficial effects on fuel consumption, driver workload, traffic flow efficiency, and safety. Nevertheless, one major challenge lies in the safe and comfortable transitions of control from the automated system back to the human drivers, especially when they have...

A structured approach to increase situational awareness in low voltage distribution grids

Wear and tear, electrification and aging of (low voltage) distribution grids require maintenance in order to assure continuous provision of electricity. Situational awareness is required to find out when parts of the grid need maintenance and which parts should be prioritized. The paper proposes a conceptual value model which relates sensor data...

Risk management in large scale underground infrastructures

Underground infrastructures can fail due to ground movements. Due to the underground nature this is difficult to detect above ground. In a collaboration of multiple research institutes a new approach has been developed to estimate the probability of failure using underground position sensors. A Proof of Principle monitoring system was developed...

Adjoint sensitivity in Electrical Impedance Tomography using COMSOL Multiphysics

In 3D reconstruction problems the number of design variables is large and the forward model is typically computationally expensive. Reconstruction using gradient-based optimization algorithms requires many gradient computations. For such problems the computational cost of a finite difference approach to gradient calculation is prohibitive since...

Video exposure monitoring as part of a strategy to assess exposure to nanoparticles

Objectives: There is a growing awareness of the potential risks for human health of exposure to ultrafine particles or nanoparticles. In that context, workplace air measurements become important, and various strategies have been developed to monitor exposure. In addition, observations and time/activity registrations are part of the exposure...

Real-time intelligent production monitoring of a North Sea asset

The increasing complexity of natural gas extraction because of reducing reserves, complex behavior and more intricate contractual rules (due to liberalization of the West European energy markets) creates a need for more effective production efficiency. In order to deal with these challenges Wintershall is realizing a real-time monitoring system...

Fiber Bragg Grating sensors for structural health monitoring of Tsing Ma bridge: Background and experimental observation

The rapid expansion of the optical fiber telecommunication industry due to the explosion of the Internet has substantially driven down the cost of optical components, making fiber optic sensors more economically viable. In addition, the rapid development of fiber-optic sensors, particularly the fiber Bragg grating (FBG) sensors offers many...

Wind Turbine Operation ampersand Maintenance based on Condition Monitoring WT-OMEGA Final report.

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